TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/MaskFeat (Kinetics600 pretrain, MViT-L)

MaskFeat (Kinetics600 pretrain, MViT-L)

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Robots3 results

  • Activity RecognitiononSomething-Something V2
    Parameters· uses extra data· 2021-12-16
    218
    best: 2131 (InternVideo2-6B)
    SOTA
    Masked Feature Prediction for Self-Supervised Visual Pre-TrainingarXiv:2112.09133
  • Activity RecognitiononSomething-Something V2
    Top-1 Accuracy· uses extra data· 2021-12-16
    75
    best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
    SOTA
    Masked Feature Prediction for Self-Supervised Visual Pre-TrainingarXiv:2112.09133
  • Activity RecognitiononSomething-Something V2
    Top-5 Accuracy· uses extra data· 2021-12-16
    95
    best: 96.3 (DejaVid)
    SOTA
    Masked Feature Prediction for Self-Supervised Visual Pre-TrainingarXiv:2112.09133

Time Series3 results

  • Action RecognitiononSomething-Something V2
    Parameters· uses extra data· 2021-12-16
    218
    best: 2131 (InternVideo2-6B)
    SOTA
    Masked Feature Prediction for Self-Supervised Visual Pre-TrainingarXiv:2112.09133
  • Action RecognitiononSomething-Something V2
    Top-1 Accuracy· uses extra data· 2021-12-16
    75
    best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
    SOTA
    Masked Feature Prediction for Self-Supervised Visual Pre-TrainingarXiv:2112.09133
  • Action RecognitiononSomething-Something V2
    Top-5 Accuracy· uses extra data· 2021-12-16
    95
    best: 96.3 (DejaVid)
    SOTA
    Masked Feature Prediction for Self-Supervised Visual Pre-TrainingarXiv:2112.09133